https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.Headhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Tshttp://www.nanopub.org/nschema#hasAssertionhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Tshttp://www.nanopub.org/nschema#hasProvenancehttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.provenancehttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Tshttp://www.nanopub.org/nschema#hasPublicationInfohttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.pubinfohttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Tshttp://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://www.nanopub.org/nschema#Nanopublicationhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/FM_R1.2http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.org/fair-ontology#FAIR-Metrichttps://purl.org/fair-metrics/FM_R1.2http://xmlns.com/foaf/0.1/primaryTopichttp://purl.org/fair-ontology#R1.2https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.provenancehttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._1http://purl.org/dc/elements/1.1/formatapplication/x-texinfohttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._1http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://rdfs.org/ns/void#Datasethttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._1http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://www.w3.org/ns/dcat#Distributionhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._1http://www.w3.org/ns/dcat#downloadURLhttps://raw.githubusercontent.com/FAIRMetrics/Metrics/master/Distributions/FM_R1.2.texhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._2http://purl.org/dc/elements/1.1/formatapplication/pdfhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._2http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://rdfs.org/ns/void#Datasethttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._2http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://www.w3.org/ns/dcat#Distributionhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._2http://www.w3.org/ns/dcat#downloadURLhttps://raw.githubusercontent.com/FAIRMetrics/Metrics/master/Distributions/FM_R1.2.pdfhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://purl.org/dc/terms/authorErik Schulteshttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://purl.org/dc/terms/authorLuiz Boninohttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://purl.org/dc/terms/authorMark Wilkinsonhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://purl.org/dc/terms/authorMichel Dumontierhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://purl.org/dc/terms/authorPeter Doornhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://purl.org/dc/terms/authorSusanna Sansonehttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://purl.org/dc/terms/titleDetailed Provenancehttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://www.w3.org/2000/01/rdf-schema#commentFAIR Metric for Fair Principle R1.2https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://www.w3.org/ns/dcat#distributionhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._1https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://www.w3.org/ns/dcat#distributionhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts._2https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttp://www.w3.org/ns/prov#wasGeneratedByFAIR Metrics Working Grouphttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/terms/commentsMany data formats have fields specifically for Provenance information. -> could fairsharing curate these 4 fields? for every format and vocabulary?
Some formats do not have these fields. For example, although gff can have arbitrary headers, the standard itself does not provide specific fields to capture detailed provenance. It therefore wouldhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/terms/examplesNonehttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/terms/measuringThat there is provenance information associated with the data, covering at least two primary types of provenance information:
- Who/what/When produced the data (i.e. for citation)
- Why/How was the data produced (i.e. to understand context and relevance of the data)https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/terms/procedureWe resolve the IRI according to their associated protocols.
In the future, we may be able to cross-reference these with FAIRSharing to confirm that they are 'standard', and perhaps even distinguish citation vs. domain specific.https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/terms/rationaleReusability is not only a technical issue; data can be discovered, retrieved, and even be machine-readable, but still not be reusable in any rational way. Reusability goes beyond 'can I reuse this data?' to other important questions such as 'may I reuse this data?', 'should I reuse this data', and 'who should I credit if I decide to use it?'https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/terms/relevanceAllhttps://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/terms/requirementsSeveral IRIs - at least one of these points to one of the vocabularies used to describe citational provenance (e.g. dublin core). At least one points to one of the vocabularies (likely domain-specific) that is used to describe contextual provenance (e.g. EDAM)https://purl.org/fair-metrics/FM_R1.2#nanopub.RAP8dgLk5LLzgA5pylBs1jCjYeWVxVX9-m2QuZntyq1Ts.assertionhttps://purl.org/fair-metrics/terms/validationIRI 1 should resolve to a recognized citation provenance standard such as Dublin Core.
IRI 2 should resolve to some vocabulary that itself passes basic tests of FAIRness
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